• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.1-12
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• 2022

In the event of a maritime distress accident, rapid search and rescue operations using rescue assets are very important to ensure the safety and life of drowning person's at sea. In this paper, we analyzed the surface layer current in the northwest sea area of Ulleungdo by applying machine learning such as multiple linear regression, decision tree, support vector machine, vector autoregression, and LSTM to the meteorological information collected from the maritime observation buoy. And we predicted the drowning person's route at sea based on the predicted current direction and speed information by constructing each prediction model. Comparing the various machine learning models applied in this paper through the performance evaluation measures of MAE and RMSE, the LSTM model is the best. In addition, LSTM model showed superior performance compared to the other models in the view of the difference distance between the actual and predicted movement point of drowning person.

• Nuclear Engineering and Technology
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• v.53 no.1
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• pp.148-163
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• 2021

Timely fault identification is important for safe and reliable operation of the electric valve system. Many research works have utilized different data-driven approach for fault diagnosis in complex systems. However, they do not consider specific characteristics of critical control components such as electric valves. This work presents an integrated shallow-deep fault diagnostic model, developed based on signals extracted from DN50 electric valve. First, the local optimal issue of particle swarm optimization algorithm is solved by optimizing the weight search capability, the particle speed, and position update strategy. Then, to develop a shallow diagnostic model, the modified particle swarm algorithm is combined with support vector machine to form a hybrid improved particle swarm-support vector machine (IPs-SVM). To decouple the influence of the background noise, the wavelet packet transform method is used to reconstruct the vibration signal. Thereafter, the IPs-SVM is used to classify phase imbalance and damaged valve faults, and the performance was evaluated against other models developed using the conventional SVM and particle swarm optimized SVM. Secondly, three different deep belief network (DBN) models are developed, using different acoustic signal structures: raw signal, wavelet transformed signal and time-series (sequential) signal. The models are developed to estimate internal leakage sizes in the electric valve. The predictive performance of the DBN and the evaluation results of the proposed IPs-SVM are also presented in this paper.

• Journal of Korean Physical Therapy Science
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• v.29 no.4
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• pp.27-42
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• 2022

Background: Although children with cerebral palsy (CP) are able to walk independently, gait imbalance occurs due to abnormal muscle tone, musculoskeletal deformity, loss of balance, and selective motor control impairment. Gait restriction in the community and school is a major problem of rehabilitation in CP. Home-based therapy (HBT) provides a variety of interventions in which the therapist and the parent work together to resolve the activities and problems caused by the child's body structure. Therefore, we investigate the effectiveness of home-centered therapy on gross motor function in CP and try to present the possibility of clinical application. Design: A Systematic Review Methods: Research papers were published from Jan, 2012 to Jan, 2022 and were searched using Medline and PubMed. The search terms are 'family-centered' OR 'home-based' AND 'cerebral palsy'. A total of nine papers were analyzed in this study. The paper presented the quality level based on Physiotherapy Evidence Database (PEDro) scores to assess the quality of randomized clinical trials studies. Results: The results showed that HBT for strengthening exercise in lower extremity has a positive effect on the isokinetic torque and gross motor function. home-based treadmill therapy in CP is effective to perform at least 12 sessions of treadmill HBP in which the therapist determines the treadmill speed every week and the child's own gait pattern is modified. Conclusion: These results suggest that it will be important data for founding evidence on the effectiveness of home-centered therapy on gross motor function in children with cerebral palsy to advance clinical protocols.

• Journal of Internet of Things and Convergence
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• v.9 no.1
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• pp.19-24
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• 2023

Recently, with the recent rapid development of memory technology, various types of memory are developed and are used to improve processing speed in data management systems. In particular, NAND flash memory is used as a main media for storing data in memory-based storage devices because it has a nonvolatile characteristic that it can maintain data even at the power off state. However, since the recently studied memory-based storage device consists of various types of memory such as MRAM and PRAM as well as NAND flash memory, research on memory management technology is needed to improve data processing performance and efficiency of media in a storage system composed of different types of memories. In this paper, we propose a memory mapping scheme thought technique for efficiently managing data in the storage device composed of various memories for data management. The proposed idea is a method of managing different memories using a single mapping table. This method can unify the address scheme of data and reduce the search cost of data stored in different memories for data tiering.

• Physical Therapy Rehabilitation Science
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• v.12 no.1
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• pp.62-71
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• 2023

Objective: Stroke patients need the training to adjust their posture and maintain balance is necessary to restore movement function, and unstable support training is one of the appropriate training. In this study, a systematic review and meta-analysis were conducted to find out the effects of unstable surface training on balance and gait in stroke patients. Design: Systematic review and meta-analysis Methods: After creating a search expression referring to MeSH and EMTREE, the literature from 1976 to February 2022 was searched in the databases of PubMed, EMBASE, and Cochrane Library CENTRAL. A total of 331 studies were searched from three databases, and 11 studies were finally selected according to the inclusion criteria. Unstable surface training included studies using balance trainer, Whole-body vibration, and sand surfaces. Results: The results were found to be d=2.28 (p=0.02) and the effect size was 0.36 (95% CI: 0.05, 0.67) on the Berg Balance Scale. In the Kinesthetic Ability Trainer static balance, d=2.59 (p=0.01) and the effect size was 1.01 (95% CI: 0.24, 1.78). Timed Up and Go test showed that d=2.18 (p=0.03) and the effect size was 0.38 (95% CI: 0.04, 0.72). At the gait speed, d=0.99 (p=0.32) and the effect size was 0.15 (95% CI: -0.15, 0.45). In the 6-minute walk test, d=0.14 (p=0.89) and the effect size was 0.04 (95% CI: -0.47, 0.55). Conclusions: In this study was found that training was effective in balance if it became unstable in standing posture. Therefore, unstable surface training can be used to improve the balance of stroke patients in clinical practice.

• Journal of the Korea Society of Computer and Information
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• v.14 no.12
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• pp.75-87
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• 2009

This paper, which is about the method of creating the audio fingerprint and comparing with the audio data, presents how to distinguish music using the characteristics of audio data. It is a process of applying the Difference of Gaussian (DoG: generally used for recognizing images) to the audio data, and to extract the music that changes radically, and to define the location of fingerprint. This fingerprint is made insensitive to the changes of sound, and is possible to extract the same location of original fingerprint with just a portion of music data. By reducing the data and calculation of fingerprint, this system indicates more efficiency than the pre-system which uses pre-frequency domain. Adopting this, it is possible to indicate the copyrighted music distributed in internet, or meta information of music to users.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.236-239
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• 2021

With the growth of AI technology, the scale of Knowledge Graphs continues to be expanded. Knowledge Graphs are mainly expressed as RDF representations that consist of connected triples. Many RDF storages compress and transform RDF triples into the condensed IDs. However, if we try to transform a large scale of RDF triples, it occurs the high processing time and memory overhead because it needs to search the large ID mapping table. In this paper, we propose the method of converting RDF triples using Hash-based ID mapping tables with MapReduce, which is the software framework with a parallel, distributed algorithm. Our proposed method not only transforms RDF triples into Integer-based IDs, but also improves the conversion speed and memory overhead. As a result of our experiment with the proposed method for LUBM, the size of the dataset is reduced by about 3.8 times and the conversion time was spent about 106 seconds.

• Convergence Security Journal
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• v.23 no.5
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• pp.91-100
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• 2023

Vehicles are changing in the direction of utilizing various ICT technologies. Accordingly a number of software has been installed in vehicles, resulting in cybersecurity threats such as hacking. So each country is preparing legal regulations to secure vehicles cybersecurity. However, the enactment of legal regulations is bound to be relatively slow compared to the speed of development of vehicles technology, so it is necessary to revise the legal regulations by continuously monitoring of vehicles technology development trends. In this study, we search and analyze the latest vehicles cybersecurity patent applications to explore new technologies that require supplementation of vehicles cybersecurity. Threat technologies/security requirements for new technologies are presented through patent analysis

• Korean Journal of Remote Sensing
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• v.31 no.6
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• pp.531-548
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• 2015

Atmospheric Motion Vector (AMV) from satellite images have shown Slow Speed Bias (SSB) in comparison with rawinsonde. The causes of SSB are originated from tracking, selection, and height assignment error, which is known to be the leading error. However, recent works have shown that height assignment error cannot be fully explained the cause of SSB. This paper attempts a new approach to examine the possibility of SSB reduction of COMS AMV by using a new target tracking algorithm. Tracking error can be caused by averaging of various wind patterns within a target and changing of cloud shape in searching process over time. To overcome this problem, Gaussian Mixture Model (GMM) has been adopted to extract the coldest cluster as target since the shape of such target is less subject to transformation. Then, an image filtering scheme is applied to weigh more on the selected coldest pixels than the other, which makes it easy to track the target. When AMV derived from our algorithm with sum of squared distance method and current COMS are compared with rawindsonde, our products show noticeable improvement over COMS products in mean wind speed by an increase of $2.7ms^{-1}$ and SSB reduction by 29%. However, the statistics regarding the bias show negative impact for mid/low level with our algorithm, and the number of vectors are reduced by 40% relative to COMS. Therefore, further study is required to improve accuracy for mid/low level winds and increase the number of AMV vectors.

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.3
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• pp.69-76
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• 2000

This study deals with development GIS application using web-based CAD, this application serves to user, designer, manager that more convenient and various functions. Development to this application, collect attribute data from fieldwork and geographic data from cadastral map and aerial survey map and then development to user interface using HTML, JavaScript, ASP, Whip ActiveX control. This application's characters are as follows ; First, system designer designed that anyone who have basic knowledge about web and CAD can develop this application. A system structure simplification by 2-Tier. Geographic information use DWF(drawing web format) file and attribute information use DBMS in consideration of extension. Second, system manager can service independently GIS in Web need not high priced GIS engine, so more economical. Third, internet user get service GIS information and function that search of information, zoom in/out, pan, print etc., if you need more functions, add function without difficultly. Developed application as above, not only save volume but fast of speed as use vector data exclude character and image data. Also, this application can used by means of commercial and travel information service but also various GIS service of public institution and private in web.